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Packages that use AbstractMixtureModel.Parameterization | |
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de.jstacs.models.mixture | This package is the super package for any mixture model. |
de.jstacs.models.mixture.motif |
Uses of AbstractMixtureModel.Parameterization in de.jstacs.models.mixture |
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Methods in de.jstacs.models.mixture that return AbstractMixtureModel.Parameterization | |
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static AbstractMixtureModel.Parameterization |
AbstractMixtureModel.Parameterization.valueOf(String name)
Returns the enum constant of this type with the specified name. |
static AbstractMixtureModel.Parameterization[] |
AbstractMixtureModel.Parameterization.values()
Returns an array containing the constants of this enum type, in the order they are declared. |
Constructors in de.jstacs.models.mixture with parameters of type AbstractMixtureModel.Parameterization | |
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AbstractMixtureModel(int length,
Model[] models,
boolean[] optimizeModel,
int dimension,
int starts,
boolean estimateComponentProbs,
double[] componentHyperParams,
double[] weights,
AbstractMixtureModel.Algorithm algorithm,
double alpha,
double eps,
AbstractMixtureModel.Parameterization parametrization,
int initialIteration,
int stationaryIteration,
BurnInTest burnInTest)
Creates a new AbstractMixtureModel . |
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MixtureModel(int length,
Model[] models,
double[] weights,
int starts,
double alpha,
double eps,
AbstractMixtureModel.Parameterization parametrization)
Creates an instance using EM and fixed component probabilities. |
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MixtureModel(int length,
Model[] models,
int starts,
boolean estimateComponentProbs,
double[] componentHyperParams,
double[] weights,
AbstractMixtureModel.Algorithm algorithm,
double alpha,
double eps,
AbstractMixtureModel.Parameterization parametrization,
int initialIteration,
int stationaryIteration,
BurnInTest burnInTest)
Creates a new MixtureModel . |
|
MixtureModel(int length,
Model[] models,
int starts,
double[] componentHyperParams,
double alpha,
double eps,
AbstractMixtureModel.Parameterization parametrization)
Creates an instance using EM and estimating the component probabilities. |
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StrandModel(Model model,
int starts,
boolean estimateComponentProbs,
double[] componentHyperParams,
double forwardStrandProb,
AbstractMixtureModel.Algorithm algorithm,
double alpha,
double eps,
AbstractMixtureModel.Parameterization parametrization,
int initialIteration,
int stationaryIteration,
BurnInTest burnInTest)
Creates a new StrandModel . |
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StrandModel(Model model,
int starts,
double[] componentHyperParams,
double alpha,
double eps,
AbstractMixtureModel.Parameterization parametrization)
Creates an instance using EM and estimating the component probabilities. |
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StrandModel(Model model,
int starts,
double forwardStrandProb,
double alpha,
double eps,
AbstractMixtureModel.Parameterization parametrization)
Creates an instance using EM and fixed component probabilities. |
Uses of AbstractMixtureModel.Parameterization in de.jstacs.models.mixture.motif |
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Constructors in de.jstacs.models.mixture.motif with parameters of type AbstractMixtureModel.Parameterization | |
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HiddenMotifMixture(Model[] models,
boolean[] optimzeArray,
int components,
int starts,
boolean estimateComponentProbs,
double[] componentHyperParams,
double[] weights,
PositionPrior posPrior,
AbstractMixtureModel.Algorithm algorithm,
double alpha,
double eps,
AbstractMixtureModel.Parameterization parametrization,
int initialIteration,
int stationaryIteration,
BurnInTest burnInTest)
Creates a new HiddenMotifMixture . |
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SingleHiddenMotifMixture(Model motif,
Model bg,
boolean trainOnlyMotifModel,
int starts,
double[] componentHyperParams,
double[] weights,
PositionPrior posPrior,
AbstractMixtureModel.Algorithm algorithm,
double alpha,
double eps,
AbstractMixtureModel.Parameterization parametrization,
int initialIteration,
int stationaryIteration,
BurnInTest burnInTest)
Creates a new SingleHiddenMotifMixture . |
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SingleHiddenMotifMixture(Model motif,
Model bg,
boolean trainOnlyMotifModel,
int starts,
double[] componentHyperParams,
PositionPrior posPrior,
double alpha,
double eps,
AbstractMixtureModel.Parameterization parametrization)
Creates a new SingleHiddenMotifMixture using EM and estimating
the probability for finding a motif. |
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SingleHiddenMotifMixture(Model motif,
Model bg,
boolean trainOnlyMotifModel,
int starts,
double motifProb,
PositionPrior posPrior,
double alpha,
double eps,
AbstractMixtureModel.Parameterization parametrization)
Creates a new SingleHiddenMotifMixture using EM and fixed
probability for finding a motif. |
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